A distributed storage resource management in a hyper converged infrastructure is created. The system accesses a virtualized infrastructure comprising a plurality of host machines, each of said plurality of host machines having resources, the resources comprising: a central processing unit (CPU), a memory, and a storage, each of the plurality of host machines communicatively coupled with one or more virtual machines. The resources in each of the host machines are disaggregated. The resources are aggregated based on a nature of the resource into a common pool of shared resources. A request is received for a workload application having a resource requirement. The resource requirement of the workload application is matched with resources in the common pool of shared resources. The matched resources in the common pool of shared resources are assigned to the workload application.

Distributed storage resource management in a hyper converged infrastructure

The embodiment of the invention discloses a data processing method and device and a computer readable storage medium The method of the embodiment comprises the steps: receiving job data, and submitting the job data to a scheduling global resource manager in a resource scheduling system; starting a computing application manager in the open source cluster computing framework based on the resource scheduling system; carrying out protocol association on a scheduling application program manager in the resource scheduling system and a computing application program manager; controlling the computingapplication program manager to perform resource scheduling communication with the scheduling global resource manager through the scheduling application program manager after protocol association; starting a computing executor corresponding to the computing application program manager according to a scheduling result of resource scheduling communication; and achieving iterative processing of the job data through the computing executor, so that a self-developed resource scheduling system and an open source cluster computing framework are used in cooperation through protocol association, and thedata processing efficiency is greatly improved

Data processing method and device and computer readable storage medium

An expansion device for a virtual interface is provided. The expansion device is disposed on a mainboard of a server and is configured to acquire control of a plurality of physical resources of the server. The expansion device includes a virtual interface demand control module and a resource management module. The resource management module includes a transmission unit and a physical resource protocol unit. The virtual interface demand control module is configured to acquire control of a plurality of client facilities and arrange a demand timing of each of the client facilities to generate a plurality of interface operation signals. The transmission unit is configured to manage datastreams of the interface operation signals transmitted from the mainboard to the physical resources to decrease central processing unit (CPU) usage on the server. The physical resource protocol unit is configured to control the physical resources according to the interface operation signals.

Expansion device for virtual interface and network server system thereof

A processing system including at least one processor may obtain first network analytics data from a plurality of zones of a telecommunication network, generate a set of policies from the first network analytics data via an apriori algorithm, where each policy in the set of policies comprises a pattern matching rule, and deploy policies of the set of policies to a plurality of edge devices in respective zones of the plurality of zones of the telecommunication network. The processing system may further receive, from at least one of the plurality of edge devices in one of the plurality of zones, a first alert of a first policy trigger of a first policy of the set of policies, and transmit a notification to a software defined network controller of the first policy trigger.

Cloud zone network analytics platform

The invention relates to the technical field of communication, in particular to a Spark application program control method and device. The control method for the Spark application program comprises the following steps: judging whether a historical state parameter of the Spark application program is effective or not, and if yes, adding the historical state parameter into an operation environment ofthe Spark application program; The Spark application program is operated according to the acquired historical state parameters; Judging whether the Spark application program operates abnormally or not, and if yes, keeping the current state parameter of the Spark application program; And storing the current state parameters in an administrator to update the historical state parameters. According to the method, the running accessibility of the Spark application program is ensured, the problems of data loss, data repeated consumption and the like caused by discontinuous states are avoided, and the usability of the program is improved.

A Spark application program control method and device

Examples may include techniques to a indicate behavior of a data center. A data center is monitored to collect operating information and one or more models to represent behavior of the data center are built based on the collected operating information. Predicted behavior of the data center to support a workload based on different operating scenarios using the one or more built models is indicated to facilitate resource allocation and scheduling for the workload supported by the data center.

Workload behavior modeling and prediction for data center adaptation

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Workload behavior modeling and prediction for data center adaptation